The Integration of Complex Systems Science and Community-Based Research: A Scoping Review
Complex systems science (CSS) and community-based research (CBR) have emerged over the past 50 years as complementary disciplines. However, there is a gap in understanding what has driven the recent proliferation of integrating these two disciplines to study complex and relevant issues. In this revi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
|
| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/12/3/88 |
| _version_ | 1797239259021705216 |
|---|---|
| author | Travis R. Moore Nicholas Cardamone Helena VonVille Robert W. S. Coulter |
| author_facet | Travis R. Moore Nicholas Cardamone Helena VonVille Robert W. S. Coulter |
| author_sort | Travis R. Moore |
| collection | DOAJ |
| description | Complex systems science (CSS) and community-based research (CBR) have emerged over the past 50 years as complementary disciplines. However, there is a gap in understanding what has driven the recent proliferation of integrating these two disciplines to study complex and relevant issues. In this review, we report on the results of a scoping review of articles that utilized both disciplines. After two levels of reviewing articles using DistillerSR, a web-based platform designed to streamline and facilitate the process of conducting systematic reviews, we used two forms of natural language processing to extract data. We developed a novel named entity recognition model to extract descriptive information from the corpus of articles. We also conducted dynamic topic modeling to deductively examine in tandem the development of CSS and CBR and to inductively discover the specific topics that may be driving their use in research and practice. We find that among the CSS and CBR papers, CBR topic frequency has grown at a faster pace than CSS, with CBR using CSS concepts and techniques more often. Four topics that may be driving this trend are collaboration within social systems, business management, food and land use and knowledge, and water shed management. We conclude by discussing the implications of this work for researchers and practitioners who are interested in studying and solving complex social, economic, and health-related issues. |
| first_indexed | 2024-04-24T17:48:41Z |
| format | Article |
| id | doaj.art-ae288a7cfa374d269b8ebedc025ab7f9 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-04-24T17:48:41Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-ae288a7cfa374d269b8ebedc025ab7f92024-03-27T14:05:43ZengMDPI AGSystems2079-89542024-03-011238810.3390/systems12030088The Integration of Complex Systems Science and Community-Based Research: A Scoping ReviewTravis R. Moore0Nicholas Cardamone1Helena VonVille2Robert W. S. Coulter3Division of Nutrition Interventions, Communication, and Behavior Change, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USAPenn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USAHealth Sciences Library System, University of Pittsburg, Pittsburgh, PA 15260, USADepartment of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USAComplex systems science (CSS) and community-based research (CBR) have emerged over the past 50 years as complementary disciplines. However, there is a gap in understanding what has driven the recent proliferation of integrating these two disciplines to study complex and relevant issues. In this review, we report on the results of a scoping review of articles that utilized both disciplines. After two levels of reviewing articles using DistillerSR, a web-based platform designed to streamline and facilitate the process of conducting systematic reviews, we used two forms of natural language processing to extract data. We developed a novel named entity recognition model to extract descriptive information from the corpus of articles. We also conducted dynamic topic modeling to deductively examine in tandem the development of CSS and CBR and to inductively discover the specific topics that may be driving their use in research and practice. We find that among the CSS and CBR papers, CBR topic frequency has grown at a faster pace than CSS, with CBR using CSS concepts and techniques more often. Four topics that may be driving this trend are collaboration within social systems, business management, food and land use and knowledge, and water shed management. We conclude by discussing the implications of this work for researchers and practitioners who are interested in studying and solving complex social, economic, and health-related issues.https://www.mdpi.com/2079-8954/12/3/88complex systems sciencecommunity-based researchscoping reviewnatural language processingcomplexity sciencecommunity-engaged research |
| spellingShingle | Travis R. Moore Nicholas Cardamone Helena VonVille Robert W. S. Coulter The Integration of Complex Systems Science and Community-Based Research: A Scoping Review Systems complex systems science community-based research scoping review natural language processing complexity science community-engaged research |
| title | The Integration of Complex Systems Science and Community-Based Research: A Scoping Review |
| title_full | The Integration of Complex Systems Science and Community-Based Research: A Scoping Review |
| title_fullStr | The Integration of Complex Systems Science and Community-Based Research: A Scoping Review |
| title_full_unstemmed | The Integration of Complex Systems Science and Community-Based Research: A Scoping Review |
| title_short | The Integration of Complex Systems Science and Community-Based Research: A Scoping Review |
| title_sort | integration of complex systems science and community based research a scoping review |
| topic | complex systems science community-based research scoping review natural language processing complexity science community-engaged research |
| url | https://www.mdpi.com/2079-8954/12/3/88 |
| work_keys_str_mv | AT travisrmoore theintegrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT nicholascardamone theintegrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT helenavonville theintegrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT robertwscoulter theintegrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT travisrmoore integrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT nicholascardamone integrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT helenavonville integrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview AT robertwscoulter integrationofcomplexsystemsscienceandcommunitybasedresearchascopingreview |